Funding entity Substrate AI, S.A
This project aims to implement an Artificial Intelligence system for temperature control in hotels, with the goal of energy conservation. Environmental and cooling system data are analyzed, and clustering algorithms are employed to detect patterns. Using this insight, predictive models are developed for key temperature management variables. An optimization model is constructed to enhance hotel comfort, taking into account current and predicted variables. A software is deployed, integrating predictive and optimization models to achieve desired room temperatures in the hotel.
Layman's summary: Project utilizes AI to save energy in hotels by optimizing temperature. Analyzes data, predicts behaviors, and adjusts systems for increased comfort and efficiency.
SUBSTRATEAI_2023
